25 September 2026 — PATEO, which says its AI-related business generated approximately RMB 209 million in first-half 2026 revenue, up 588.6% year on year, announced on 22 September that it had signed a memorandum of understanding with Arm to explore physical AI for vehicles.
Key points
- PATEO says the partners will examine automotive AI workloads centred on perception and interaction.
- The supplier reported approximately RMB 209 million in AI-related revenue for the first half of 2026, a year-on-year increase of 588.6%.
- PATEO says the collaboration supports its strategy spanning software, hardware, chips and cloud services.
PATEO and Arm target perception workloads
The companies’ stated work under the memorandum is to explore AI applications for vehicles that can process information about their surroundings and respond through interaction. PATEO describes these as next-generation automotive workloads. The announcement places the proposed work within physical AI, its term for systems that link perception, decisions and actions in the physical world.
PATEO says vehicle AI is extending beyond voice assistants, navigation and infotainment. It identifies multimodal perception, closer integration between cockpit and driving functions, real-time interaction and in-vehicle AI agents as areas of development. Those applications would draw on the sensing, computing, connectivity and control functions that the company says vehicles already combine.
The memorandum pairs a Hong Kong-listed automotive supplier with a computing-platform company whose architecture Liang Chen, PATEO’s vice president, said is widely used in the automotive industry. Chen said PATEO and Arm would explore physical AI applications together and work with the wider industry on their development. PATEO describes the collaboration as part of its approach to combining vehicle technology with semiconductor and software capabilities.
Arm platform fits PATEO’s four-part strategy
PATEO says more demanding vehicle workloads call for computing capacity alongside low energy use, rapid response, reliability and functional safety. Its proposed areas of work with Arm sit across those requirements. The company also says developing such systems involves coordination among semiconductor intellectual property, chips, operating systems, algorithms, applications and cloud platforms.
For PATEO, the memorandum supports a strategy it calls “Software, Hardware, Chip, and Cloud”. The supplier says it operates across intelligent cockpits and connected-vehicle technology, while Arm contributes its automotive computing platform and software ecosystem. PATEO casts the planned work as an extension of those respective capabilities into vehicle applications based on perception and interaction.
PATEO has also adopted an “AI-Defined Vehicles” development philosophy, under which it aims to integrate AI across vehicle systems, according to the company. That places the proposed Arm work within a broader product approach rather than a single in-car function. The memorandum’s stated activity remains exploration of applications and workloads, alongside PATEO’s existing work in cockpit and connected-vehicle technology.
PATEO reports RMB 209 million in AI revenue
PATEO reported approximately RMB 209 million in AI-related revenue for the first half of 2026, an increase of 588.6% from a year earlier. The company attributes that growth to a shift from proof-of-concept work towards deployment at scale. Automotive World reported that the revenue was earned between January and June and that PATEO linked the increase to its experience producing cockpit domain controllers.
That revenue belongs to PATEO’s AI-related business, rather than to the newly announced Arm collaboration. The company says it has invested in physical AI and developed product platforms intended to take such technology into production. It identifies its experience with intelligent cockpit domain controllers as a basis for integrating future applications into vehicles.
PATEO describes itself as a Tier 1 supplier with capabilities extending from technology development through platform integration to large-scale deployment. Its existing cockpit domain controllers are among the products for which it says it has mass-production experience.